Case Study
Lawep.ai
Theworld'sfirstAI-poweredplatformforlegislativedrafting,enablinglegislators,policymakers,andresearcherstocraftlaws,acts,andbillswithunprecedentedprecisionandspeed.
Overview
The Challenge
432,000 legal documents. Multiple formats. One mission: make legislative drafting intelligent.
Lawep.ai is designed to revolutionize how legislators, policymakers, and researchers craft laws, acts, and bills. By leveraging LLMs and RAG technologies, it empowers users to streamline research and drafting with precision and reliability.
Client
Lawep.ai — London, UK
Timeline
16 Weeks — End-to-End Build
Industry
Legal Tech / Legislative AI
Tech Stack
AWS EC2, SageMaker, Lambda, S3, MySQL, MongoDB, vLLM, Huggingface, Django
Maintaining legal integrity with verifiable references for every AI-generated suggestion.
Special focus was placed on handling formal tone and strict structures required in legal writing, delivering verifiable references, and building custom LLM fine-tuning pipelines on 432,000+ documents.
The numbers speak
Legal Documents Processed
PDFs, DOCX, TXT, images, and Pages files ingested through custom extraction and OCR pipelines into a unified, searchable legal knowledge base.
Reduction in Research & Drafting Time
AI-powered research, precedent retrieval, and draft generation cut the time legislators spend on manual research by more than half.
Verifiable Cited Sources
Every AI-generated suggestion is cross-verified against source documents, with automated reference extraction for full transparency and legal traceability.
Scalable Architecture
Multiple fine-tuned models served concurrently via vLLM on AWS SageMaker, with Lambda orchestration for elastic scaling under demand.
Capabilities
What we built
Text Extraction & OCR Pipeline
Processed 432,000+ documents across PDFs, DOCX, TXT, images, and Pages files. Handled non-digital and scanned files for comprehensive full-text retrieval with automatic format detection.
Data Cleaning Pipeline
Normalized and cleaned extracted data, removing inconsistencies to produce LLM-ready datasets at scale.
Dataset Generation Pipeline
Structured cleaned data into instruction-response pairs for supervised fine-tuning of legal LLMs.
Prompt Engineering Pipeline
Sophisticated prompting for bill drafting, amendments, summarization, and precedent retrieval with jurisdiction awareness.
Result Verification & References
Cross-verified outputs with source documents for legal accuracy, with automated reference extraction for traceability.
LLM Fine-Tuning on Custom Legal Datasets
Multiple models fine-tuned on custom legal datasets via Huggingface and AWS SageMaker, with vLLM serving for concurrent multi-model inference and elastic scaling through Lambda orchestration.
"Xpiderz played a key role in building Lawep.ai's legal AI platform. Their team delivered powerful data pipelines, accurate OCR, and custom LLM fine-tuning with impressive speed and precision."
Marvi Memon
Founder, Chairperson & CEO
Outcome
The results
From manual legal research to AI-powered legislative intelligence, setting a new standard.
Lawep.ai provides legislators and legal professionals with a transformative tool that brings precision, speed, and trustworthiness to legislative innovation, proving that AI can responsibly augment the most consequential forms of writing.
World's First Legislative AI
The first AI platform purpose-built for legislative drafting, with custom fine-tuned models trained on 432K+ legal documents, verified outputs, and full source traceability for every suggestion.
Ready to Start
an AI Project?
We'll map your highest-impact AI opportunity in a free 30-minute call.
Schedule a Call